Algorithms to Live By

Algorithms to Live By by Brian Christian and Tom Griffiths is a captivating examination of how the powerful, precisely defined algorithms utilised by computers can be harnessed to address the quandaries and dilemmas of everyday human life. Blending the disciplines of computer science and cognitive psychology, this book reveals that the principles guiding computer algorithms are not only applicable to data and machines but can also provide invaluable insights into human decision-making and organisation.

Christian and Griffiths delve into the constraints of modern existence—limited space and time—and explore the problems these limits present. They raise profound yet relatable questions: What should we prioritise or defer in our daily routines? How much imperfection can we tolerate? Through vivid explanations and engaging narrative, the authors show readers how to make sounder judgements and when to embrace randomness. They tackle a wide array of topics, from optimising your daily schedule to managing the clutter in your life, from forming meaningful relationships to overcoming the paralysis of choice.

With enlightening applications, the authors illustrate how these algorithms can have a tangible impact, such as the "explore/exploit" algorithm, which balances the exploration of new opportunities and the exploitation of known resources. Whether determining the best way to sort your inbox or the most efficient method to find a parking spot, every algorithm discussed is peppered with practical takeaways. Moreover, the book delves into the science of memory, revealing how algorithmic principles can enhance the retention of information.

The true brilliance of Algorithms to Live By lies in its ability to illuminate the mechanics of the human mind through the lens of computer science. By providing a fresh perspective on daily decision-making, Christian and Griffiths empower readers to conquer the chaos of modern life with algorithmic efficiency. This interdisciplinary gem offers not only new ways to think about everyday challenges but also a deeper understanding of the algorithms that permeate both technology and human cognition.